Who is Artefact?

Artefact is a next-generation strategy and data consulting firm dedicated to transforming organizations through data and AI. We combine the rigor of top-tier strategy consulting with deep expertise in data, digital, and analytics to help clients achieve tangible business impact.

With 1,800+ consultants, data scientists, and engineers across 23 countries, we work with global leaders such as Samsung, L’Oréal, Orange, and Sanofi. Our Romandie office (Geneva/Lausanne) is at the heart of Artefact’s growth, advising clients on their most pressing strategic challenges — from AI strategy and governance to digital transformation roadmaps and new business model design.

Main Responsibilities

As a Senior AI & Data Engineer, you will be the architect of the "AI Factory." Your role is less about training models from scratch and more about building the industrial-grade pipelines, infrastructure, and security frameworks required to run AI in a highly regulated environment.

• Production-Grade AI Infrastructure: Design and implement robust MLOps and LLMOps pipelines specifically for banking environments, focusing on data residency, air-gapping possibilities, and high availability.

• Data Engineering for AI: Build scalable ETL/ELT pipelines to feed RAG (Retrieval-Augmented Generation) systems, ensuring data lineage, quality, and strict access control (RBAC).

• DevOps & Automation: Own the CI/CD lifecycle for AI assets. Automate the deployment of model APIs, vector databases, and monitoring stacks using Infrastructure as Code (IaC).

• Hybrid Cloud & On-Prem: Navigate complex hybrid-cloud architectures (Azure/AWS/GCP vs. Private Cloud) common in Swiss banking.

• Technical Advisory: Act as a bridge between IT Infrastructure, Risk/Compliance, and Business units to translate AI potential into stable, governed reality.

Candidate Profile

Engineer first, consultant second — with a builder’s mindset and a track record of shipping.

• Experience: 4+ years in Data Engineering, DevOps, or Software Engineering, with at least 2 years focused on deploying Machine Learning or AI systems at scale.

• The "DevOps" Stack: Expert knowledge of Docker, Kubernetes (K8s), and CI/CD tools (GitHub Actions, GitLab CI, or Jenkins). Experience with Terraform or Pulumi is a strong plus.

• The "Data" Stack: Advanced SQL and Python. Deep experience with data orchestration (Airflow, Dagster), streaming (Kafka), and modern data warehouses (Snowflake, Databricks).

• AI/LLM Implementation: Hands-on experience with the "plumbing" of AI: Vector databases (Milvus, Qdrant, or pgvector), model serving (BentoML, vLLM), and RAG orchestration (LangChain/LlamaIndex).

• Banking Domain: Solid understanding of financial data structures and the regulatory landscape (Model Risk Management, Audit trails, Data anonymization).

• Languages: English is mandatory. German (B2 or higher) is a significant advantage for the Zurich market and stakeholder management.

• Education: Master’s degree in Computer Science, Software Engineering, or a related quantitative field.

Nice to have

• Experience with responsible AI/governance frameworks, security reviews, and cost optimization.

• Domain experience in finance.

• Contributions to open-source, publications, or conference talks.

Why Join Us

• Strategy with a Data Edge: Operate at the intersection of boardroom strategy and cutting-edge AI engineering.

• Zurich Office Impact: High visibility from day one; help shape our Swiss footprint and work directly with senior leadership.

• Learning & Growth: Advanced training across strategy, AI/ML/LLM, and cloud; international missions and communities of practice.

• Culture of Doers: Innovation, action, collaboration. We move fast, deliver impact, and support each other’s growth.

Location: Zurich

If you don’t meet 100% of the criteria, we still want to hear from you. Passion, curiosity, and impact orientation matter — tell us about yours.

Who is Artefact?

Artefact is a next-generation strategy and data consulting firm dedicated to transforming organizations through data and AI. We combine the rigor of top-tier strategy consulting with deep expertise in data, digital, and analytics to help clients achieve tangible business impact.

With 1,800+ consultants, data scientists, and engineers across 23 countries, we work with global leaders such as Samsung, L’Oréal, Orange, and Sanofi. Our Romandie office (Geneva/Lausanne) is at the heart of Artefact’s growth, advising clients on their most pressing strategic challenges — from AI strategy and governance to digital transformation roadmaps and new business model design.

Main Responsibilities

As a Senior AI & Data Engineer, you will be the architect of the "AI Factory." Your role is less about training models from scratch and more about building the industrial-grade pipelines, infrastructure, and security frameworks required to run AI in a highly regulated environment.

• Production-Grade AI Infrastructure: Design and implement robust MLOps and LLMOps pipelines specifically for banking environments, focusing on data residency, air-gapping possibilities, and high availability.

• Data Engineering for AI: Build scalable ETL/ELT pipelines to feed RAG (Retrieval-Augmented Generation) systems, ensuring data lineage, quality, and strict access control (RBAC).

• DevOps & Automation: Own the CI/CD lifecycle for AI assets. Automate the deployment of model APIs, vector databases, and monitoring stacks using Infrastructure as Code (IaC).

• Hybrid Cloud & On-Prem: Navigate complex hybrid-cloud architectures (Azure/AWS/GCP vs. Private Cloud) common in Swiss banking.

• Technical Advisory: Act as a bridge between IT Infrastructure, Risk/Compliance, and Business units to translate AI potential into stable, governed reality.

Candidate Profile

Engineer first, consultant second — with a builder’s mindset and a track record of shipping.

• Experience: 4+ years in Data Engineering, DevOps, or Software Engineering, with at least 2 years focused on deploying Machine Learning or AI systems at scale.

• The "DevOps" Stack: Expert knowledge of Docker, Kubernetes (K8s), and CI/CD tools (GitHub Actions, GitLab CI, or Jenkins). Experience with Terraform or Pulumi is a strong plus.

• The "Data" Stack: Advanced SQL and Python. Deep experience with data orchestration (Airflow, Dagster), streaming (Kafka), and modern data warehouses (Snowflake, Databricks).

• AI/LLM Implementation: Hands-on experience with the "plumbing" of AI: Vector databases (Milvus, Qdrant, or pgvector), model serving (BentoML, vLLM), and RAG orchestration (LangChain/LlamaIndex).

• Banking Domain: Solid understanding of financial data structures and the regulatory landscape (Model Risk Management, Audit trails, Data anonymization).

• Languages: English is mandatory. German (B2 or higher) is a significant advantage for the Zurich market and stakeholder management.

• Education: Master’s degree in Computer Science, Software Engineering, or a related quantitative field.

Nice to have

• Experience with responsible AI/governance frameworks, security reviews, and cost optimization.

• Domain experience in finance.

• Contributions to open-source, publications, or conference talks.

Why Join Us

• Strategy with a Data Edge: Operate at the intersection of boardroom strategy and cutting-edge AI engineering.

• Zurich Office Impact: High visibility from day one; help shape our Swiss footprint and work directly with senior leadership.

• Learning & Growth: Advanced training across strategy, AI/ML/LLM, and cloud; international missions and communities of practice.

• Culture of Doers: Innovation, action, collaboration. We move fast, deliver impact, and support each other’s growth.

Location: Zurich

If you don’t meet 100% of the criteria, we still want to hear from you. Passion, curiosity, and impact orientation matter — tell us about yours.

Who is Artefact?

Artefact is a next-generation strategy and data consulting firm dedicated to transforming organizations through data and AI. We combine the rigor of top-tier strategy consulting with deep expertise in data, digital, and analytics to help clients achieve tangible business impact.

With 1,800+ consultants, data scientists, and engineers across 23 countries, we work with global leaders such as Samsung, L’Oréal, Orange, and Sanofi. Our Romandie office (Geneva/Lausanne) is at the heart of Artefact’s growth, advising clients on their most pressing strategic challenges — from AI strategy and governance to digital transformation roadmaps and new business model design.

Main Responsibilities

As a Senior AI & Data Engineer, you will be the architect of the "AI Factory." Your role is less about training models from scratch and more about building the industrial-grade pipelines, infrastructure, and security frameworks required to run AI in a highly regulated environment.

• Production-Grade AI Infrastructure: Design and implement robust MLOps and LLMOps pipelines specifically for banking environments, focusing on data residency, air-gapping possibilities, and high availability.

• Data Engineering for AI: Build scalable ETL/ELT pipelines to feed RAG (Retrieval-Augmented Generation) systems, ensuring data lineage, quality, and strict access control (RBAC).

• DevOps & Automation: Own the CI/CD lifecycle for AI assets. Automate the deployment of model APIs, vector databases, and monitoring stacks using Infrastructure as Code (IaC).

• Hybrid Cloud & On-Prem: Navigate complex hybrid-cloud architectures (Azure/AWS/GCP vs. Private Cloud) common in Swiss banking.

• Technical Advisory: Act as a bridge between IT Infrastructure, Risk/Compliance, and Business units to translate AI potential into stable, governed reality.

Candidate Profile

Engineer first, consultant second — with a builder’s mindset and a track record of shipping.

• Experience: 4+ years in Data Engineering, DevOps, or Software Engineering, with at least 2 years focused on deploying Machine Learning or AI systems at scale.

• The "DevOps" Stack: Expert knowledge of Docker, Kubernetes (K8s), and CI/CD tools (GitHub Actions, GitLab CI, or Jenkins). Experience with Terraform or Pulumi is a strong plus.

• The "Data" Stack: Advanced SQL and Python. Deep experience with data orchestration (Airflow, Dagster), streaming (Kafka), and modern data warehouses (Snowflake, Databricks).

• AI/LLM Implementation: Hands-on experience with the "plumbing" of AI: Vector databases (Milvus, Qdrant, or pgvector), model serving (BentoML, vLLM), and RAG orchestration (LangChain/LlamaIndex).

• Banking Domain: Solid understanding of financial data structures and the regulatory landscape (Model Risk Management, Audit trails, Data anonymization).

• Languages: English is mandatory. German (B2 or higher) is a significant advantage for the Zurich market and stakeholder management.

• Education: Master’s degree in Computer Science, Software Engineering, or a related quantitative field.

Nice to have

• Experience with responsible AI/governance frameworks, security reviews, and cost optimization.

• Domain experience in finance.

• Contributions to open-source, publications, or conference talks.

Why Join Us

• Strategy with a Data Edge: Operate at the intersection of boardroom strategy and cutting-edge AI engineering.

• Zurich Office Impact: High visibility from day one; help shape our Swiss footprint and work directly with senior leadership.

• Learning & Growth: Advanced training across strategy, AI/ML/LLM, and cloud; international missions and communities of practice.

• Culture of Doers: Innovation, action, collaboration. We move fast, deliver impact, and support each other’s growth.

Location: Zurich

If you don’t meet 100% of the criteria, we still want to hear from you. Passion, curiosity, and impact orientation matter — tell us about yours.

An overview of this role

As the Director of Regional Sales for the Alps region, you’ll own the strategy and execution to grow GitLab’s presence across Switzerland and Austria. You’ll build and lead a high-performing Account Executive team, establish disciplined, data-informed sales processes, and stay close to the field by engaging directly with key accounts. Reporting to the VP of Sales, you’ll work across account management, customer success, marketing, product, engineering, and operations to deliver a consistent, high-quality experience for GitLab customers and expand our footprint. In this role, you’ll help shape GitLab’s go-to-market motion in the Alps region, drive new logo acquisition and expansion, and influence how we bring our open source and DevSecOps story to a broad range of customers while executing against ambitious bookings and ARR growth targets.

What you’ll do

• Lead the growth of GitLab’s business in the Alps region by building the regional sales plan, enforcing pipeline discipline, and driving day-to-day execution to meet quarterly bookings and ARR targets.
• Manage, coach, and develop a team of Account Executives, joining customer meetings and modeling consistent, high-activity, field-focused sales behavior.
• Drive new logo acquisition across a broad base of medium-sized businesses in the Alps region while shaping and executing a long-term strategy for larger, more complex accounts.
• Build GitLab’s reputation the Alps market by partnering with marketing, business development, and local networks to generate qualified pipeline and deepen market awareness.
• Establish clear operating rhythms, sales processes, and methodologies (such as MEDDPICC or similar) that create structure, accountability, and repeatability without sacrificing agility.
• Collaborate with regional sales leaders and cross-functional partners in account management, customer success, marketing, product, engineering, and operations to align coverage, share best practices, and ensure consistent execution.
• Develop and maintain executive-level relationships with key accounts, positioning GitLab as a strategic partner and uncovering expansion and renewal opportunities.
• Analyze pipeline, forecast, and performance data to identify gaps and opportunities, adjust regional plans to focus on the highest-impact activities, and represent the Alps business internally with clear insights on market trends and customer needs.

What you’ll bring

• Experience building and leading high-performing sales teams in a regional or multi-country context, with a focus on coaching, field engagement, and talent development.
• Ability to design and execute a regional go-to-market plan, including pipeline generation discipline, territory coverage, and structured deal execution.
• Familiarity with B2B software or technology sales and concepts related to open source and DevSecOps, with interest in deepening knowledge of GitLab’s platform.
• Skills in creating structure and clarity, setting expectations, and driving organized, data-informed sales processes, including the use of MEDDPICC or similar methodologies.
• Demonstrated strength in developing trusted relationships with senior customer stakeholders, including executive-level contacts, to support new business and expansion.
• Comfort operating in a dynamic, growth-focused, all-remote environment, acting as a self-directed “manager of one” and using Salesforce.com or similar CRM and marketing tools.
• Openness to collaborating across account management, customer success, marketing, product, engineering, and operations, with the ability to work effectively with distributed teams.
• Willingness to apply transferable leadership and sales skills from related markets or industries, even if direct Alps market experience differs, in alignment with GitLab’s inclusive hiring approach.

About the team

You’ll join a regional sales organization focused on growing GitLab’s presence across the Alps region, working closely with Account Executives and cross-functional partners in account management, customer success, marketing, product, engineering, and operations. The team is all-remote and collaborates asynchronously across time zones to build pipeline, manage complex sales cycles, and deliver consistent customer experiences. You’ll help shape how we organize coverage, implement disciplined sales processes, and bring structure to a high-growth region while staying aligned with global sales strategy and GitLab’s values of transparency, collaboration, and results.

#LI-BC2

An overview of this role

As a Major Account Executive (Alps), you will own a portfolio of strategic customers and prospects in Austria & Switzerland, helping them get the most value from GitLab’s AI-powered DevSecOps platform. You’ll break into net new enterprise accounts and expand GitLab’s footprint within existing customers, using a consultative approach to understand their business needs and guide successful adoption and expansion of GitLab. You’ll work closely with pre- and post-sales teams and strategic channel partners to drive full-cycle sales, from prospecting and qualification through rollout, usage, and long-term growth, while acting as the voice of your customers by feeding their feedback and product ideas into GitLab’s public issue tracker.

Responsibilities

• Manage and support GitLab’s major account/(s)
• Manage the end to end sales process through engagement of appropriate resources such as Solutions Architects, Customer Success Managers, Professional Services, Marketing, Executives, Partners, and the Channel.
• Leverage solution selling expertise to respond efficiently to customer needs and identify business potential in order to build a strategic, long-term partnership with your customers.
• Has a deep understanding of the customer, including an understanding of their performance metrics and develops plans in anticipation of the customer’s business strategies and goals.
• Expand knowledge of industry as well as the competitive posture of the company
• Contribute to root cause analysis on wins/losses.
• Communicate lessons learned to the team, including account managers, the marketing team, and the technical team
• Provide account leadership and direction in the pre- and post-sales process
• Conduct sales activities including prospecting and developing opportunities in major accounts
• Ensure the successful rollout and adoption of GitLab products through strong account management activities and coordination with pre-and-post sales engineering and support resources
• Utilize a consultative approach, discuss business issues with prospect and develop a formal quote, a written sales proposal or a formal sales presentation addressing their business needs.
• Develop an account plan to sell to customers based on their business needs.

Requirements

• French and German: Full professional proficiency
• Experience selling into highly complex organisations
• Demonstrated consistent results and overachievement of quota
• Excellent communication and presentation skills; comfortable presenting to C-Level executives.
• Experience with solutions selling and positioning value to customers based on their needs.
• Deep understanding of with Git, Software Development Tools, Application Lifecycle Management
• You share our values, and work in accordance with those values.
• Ability to use GitLab
• Ability to travel if needed and comply with the company’s travel policy

#LI-JG2

At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs.

If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value.

THE WORK

We are seeking a new Staff Software Engineer to join the Platform Engineering team of our Custody department. You'll play a key role in shaping our engineering practices, ensuring the reliability and performance of our platform across a multi-cloud environment, and empowering our engineering team to deliver innovative features with speed and efficiency. You will drive improvements in our automation, observability, and overall platform stability.

WHAT YOU'LL DO

• Design, build, and maintain scalable and resilient infrastructure across Cloud providers such as Azure, AWS, GCP and IBM Cloud.
• Automating work including infrastructure needs, testing, failover solutions, failure mitigation, and much more.
• Implement and manage monitoring, alerting, and logging systems to ensure system visibility.
• Develop and maintain our CI/CD pipelines using GitLab CI.
• Proactively identify and resolve potential performance bottlenecks and reliability issues.
• Participate in on-call rotations to address production incidents and provide support for service engineers with customer incidents.
• Collaborate closely with development teams to integrate and deploy services efficiently.
• Contribute to the development and maintenance of our internal platform tools and services.
• Lead the implementation of standard methodologies for DevOps and SRE within the engineering organization.
• Document processes and procedures.
• Automate any software maintenance processes which previously required a manual procedure.

WHAT YOU'LL BRING

• 10+ years’ experience with software engineering, platforming engineering or system operations on high available and high traffic environments
• Strong experience with Linux-based infrastructures, Linux/Unix administration
• Experience with databases such as PostgreSQL
• Experience administering Linux servers as well as docker based infrastructure (like Kubernetes, AKS, etc.) in a highly available environment
• Experience of scripting languages such as Go or Bash
• Experience with message broker/queue technologies like RabbitMQ, AMQP 1.0
• Experience with modern monitoring, logging and observability tools in complex distributed systems such as with Application Insights, Grafana, Elastic stack, Datadog, Prometheus, etc
• Practical experience with infrastructure-as-code (with tools like Terraform)
• Familiarity with GitOps deployment practices using ArgoCD or Flux
• Good understanding of cybersecurity fundamentals and best practices
• Troubleshooting skills with the ability to spot issues before they become problems
• Excellent problem-solving and communication skills
• Committed to processes, with excellent documentation skills and a strong ability to work well in a team!